{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ARE = []\n",
    "ARE_label = []\n",
    "with open('./inference_log/audio.txt') as f:\n",
    "    ARE = f.readlines()[0].split(' ')\n",
    "    ARE = [int(x) for x in ARE]\n",
    "    \n",
    "with open('./inference_log/audio_label.txt') as f:\n",
    "    ARE_label = f.readlines()[0].split(' ')\n",
    "    ARE_label = [int(x) for x in ARE_label]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "TRE = []\n",
    "TRE_label = []\n",
    "with open('./inference_log/text.txt', 'rb') as f:\n",
    "    TRE = f.readlines()[0].split(' ')\n",
    "    TRE = [int(x.strip()) for x in TRE]\n",
    "    \n",
    "with open('./inference_log/text_label.txt', 'rb') as f:\n",
    "    TRE_label = f.readlines()[0].split(' ')\n",
    "    TRE_label = [int(x.strip()) for x in TRE_label]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "MDRE = []\n",
    "MDRE_label = []\n",
    "with open('./inference_log/mult.txt') as f:\n",
    "    MDRE = f.readlines()[0].split(' ')\n",
    "    MDRE = [int(x) for x in MDRE]\n",
    "    \n",
    "with open('./inference_log/mult_label.txt') as f:\n",
    "    MDRE_label = f.readlines()[0].split(' ')\n",
    "    MDRE_label = [int(x) for x in MDRE_label]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "MDREA = []\n",
    "MDREA_label = []\n",
    "with open('./inference_log/mult.txt') as f:\n",
    "    MDREA = f.readlines()[0].split(' ')\n",
    "    MDREA = [int(x) for x in MDREA]\n",
    "    \n",
    "with open('./inference_log/mult_label.txt') as f:\n",
    "    MDREA_label = f.readlines()[0].split(' ')\n",
    "    MDREA_label = [int(x) for x in MDREA_label]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "def plot_confusion_matrix(cm,\n",
    "                          target_names,\n",
    "                          title='Confusion matrix',\n",
    "                          cmap=None,\n",
    "                          color_bar=False,\n",
    "                          normalize=True):\n",
    "    \"\"\"\n",
    "    given a sklearn confusion matrix (cm), make a nice plot\n",
    "\n",
    "    Arguments\n",
    "    ---------\n",
    "    cm:           confusion matrix from sklearn.metrics.confusion_matrix\n",
    "\n",
    "    target_names: given classification classes such as [0, 1, 2]\n",
    "                  the class names, for example: ['high', 'medium', 'low']\n",
    "\n",
    "    title:        the text to display at the top of the matrix\n",
    "\n",
    "    cmap:         the gradient of the values displayed from matplotlib.pyplot.cm\n",
    "                  see http://matplotlib.org/examples/color/colormaps_reference.html\n",
    "                  plt.get_cmap('jet') or plt.cm.Blues\n",
    "\n",
    "    normalize:    If False, plot the raw numbers\n",
    "                  If True, plot the proportions\n",
    "\n",
    "    Usage\n",
    "    -----\n",
    "    plot_confusion_matrix(cm           = cm,                  # confusion matrix created by\n",
    "                                                              # sklearn.metrics.confusion_matrix\n",
    "                          normalize    = True,                # show proportions\n",
    "                          target_names = y_labels_vals,       # list of names of the classes\n",
    "                          title        = best_estimator_name) # title of graph\n",
    "\n",
    "    Citiation\n",
    "    ---------\n",
    "    http://scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html\n",
    "\n",
    "    \"\"\"\n",
    "    import matplotlib.pyplot as plt\n",
    "    import matplotlib \n",
    "    import numpy as np\n",
    "    import itertools\n",
    "\n",
    "    # https://matplotlib.org/examples/pylab_examples/fonts_demo.html\n",
    "    font = {'family' : 'sans-serif',\n",
    "        'weight' : 'medium',      \n",
    "        'size'   : 15}\n",
    "\n",
    "    matplotlib.rc('font', **font)\n",
    "    \n",
    "    \n",
    "    accuracy = np.trace(cm) / float(np.sum(cm))\n",
    "    misclass = 1 - accuracy\n",
    "\n",
    "    if cmap is None:\n",
    "        cmap = plt.get_cmap('Blues')\n",
    "\n",
    "    plt.figure(figsize=(8, 6))\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap,\n",
    "              )\n",
    "               \n",
    "#     plt.title(title)\n",
    "    if color_bar:\n",
    "        plt.colorbar()\n",
    "\n",
    "    if target_names is not None:\n",
    "        tick_marks = np.arange(len(target_names))\n",
    "        plt.xticks(tick_marks, target_names, rotation=45)\n",
    "#         plt.xticks(tick_marks, target_names)\n",
    "        plt.yticks(tick_marks, target_names)\n",
    "\n",
    "    if normalize:\n",
    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "\n",
    "\n",
    "    thresh = cm.max() / 1.5 if normalize else cm.max() / 2\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        if normalize:\n",
    "            plt.text(j, i, \"{:0.2f}\".format(cm[i, j]*100),\n",
    "                     horizontalalignment=\"center\",\n",
    "                     color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "        else:\n",
    "            plt.text(j, i, \"{:,}\".format(cm[i, j]),\n",
    "                     horizontalalignment=\"center\",\n",
    "                     color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "\n",
    "#     plt.tight_layout()\n",
    "    plt.ylabel('True class')\n",
    "#     plt.xlabel('Predicted label\\naccuracy={:0.4f}; misclass={:0.4f}'.format(accuracy, misclass))\n",
    "    plt.xlabel('Predicted class')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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Xx9RUn7P0Kle+Ajly5GDN6pSfoTWrVxEREXHMmIfejzzEnNkfMWnqTCpX1udLji9skgQz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\nBxmZ23BvRvioAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f416628d2d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_confusion_matrix(cm = np.array([[ 1098,  1934,   807],\n",
    "                                              [  604,  4392,  6233],\n",
    "                                              [  162,  2362, 31760]]), \n",
    "                      normalize    = True,\n",
    "                      target_names = ['high', 'medium', 'low'],\n",
    "                      color_bar = True,\n",
    "                      title        = \"Confusion Matrix\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7ZZnHAGNsn6zy7QO6X2sdNHArpZRyCPkwq9wu6OQ0pZRSyo5oi1sppZTDKAEN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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4161779f10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data  = ARE\n",
    "label = ARE_label\n",
    "hist = np.zeros([4,4])\n",
    "for i, j in zip(label, data):\n",
    "    hist[i][j] += 1\n",
    "plot_confusion_matrix(cm = hist, \n",
    "                        normalize    = True,\n",
    "                        color_bar = True,\n",
    "                        target_names = ['angry', 'happy', 'sad', 'neutral'],\n",
    "                        title        = \"Confusion Matrix\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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J3nj5WXq0a0LdSsVo07A6T416gDOnT2Z47adHP0jVEr6pXocP7k/Kc+L4MYd5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\nY0wI+T8e7NYISsByOgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f41610a6c10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data  = TRE\n",
    "label = TRE_label\n",
    "hist = np.zeros([4,4])\n",
    "for i, j in zip(label, data):\n",
    "    hist[i][j] += 1\n",
    "plot_confusion_matrix(cm = hist, \n",
    "                        normalize    = True,\n",
    "                        color_bar = True,\n",
    "                        target_names = ['angry', 'happy', 'sad', 'neutral'],\n",
    "                        title        = \"Confusion Matrix\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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vwWez/3LFZWerumENKJBGQLG3ft3frFi2lF+WrKBZ85YAlCxVivatmrJyxTJa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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4161365ed0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data  = MDRE\n",
    "label = MDRE_label\n",
    "hist = np.zeros([4,4])\n",
    "for i, j in zip(label, data):\n",
    "    hist[i][j] += 1\n",
    "plot_confusion_matrix(cm = hist, \n",
    "                        normalize    = True,\n",
    "                        color_bar = True,\n",
    "                        target_names = ['angry', 'happy', 'sad', 'neutral'],\n",
    "                        title        = \"Confusion Matrix\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MQWx/hA8fPsS/Z88SUDxxbbtoQT9mzppNr8efSIenyJpq1K7Hir92c/LYETyzZaNUYBle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\nbmOMMSaMWOA2xhhjwogFbmOMMSaM/D/3pK90jjdyzQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4161783d90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data  = MDREA\n",
    "label = MDREA_label\n",
    "hist = np.zeros([4,4])\n",
    "for i, j in zip(label, data):\n",
    "    hist[i][j] += 1\n",
    "plot_confusion_matrix(cm = hist, \n",
    "                        normalize    = True,\n",
    "                        color_bar = True,\n",
    "                        target_names = ['angry', 'happy', 'sad', 'neutral'],\n",
    "                        title        = \"Confusion Matrix\")"
   ]
  },
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